Clinical Trial

Machine-Learning Based EEG Biomarkers for Personalized Interventions

Study acronym: EEG-INSIGHT
Unknown
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Record status
This record was last updated July 31, 2024 (before its estimated November 7, 2025 completion). Its status may not reflect the trial's current state.
Summary
The goal of this observational study is to develop a machine learning model to predict the outcome of a transcranial direct current stimulation (tDCS) treatment in patients suffering from neuropathic pain derived from a spinal cord injury. The main question it aims to answer is: • Can electroencephalography (EEG) and clinical assessment data predict the success of tDCS treatment in neuropathic pain patients? Participants will: * Undergo EEG recording sessions to collect brain activity data before treatment. * Complete clinical assessments, including medical diagnostics and questionnaires focused on factors related to neuropathic pain before and after treatment.
Protocol Amendment History 1 change
critical Trial status changed: Recruiting → Unknown 2026-08-02
Trial Details
NCT Number NCT06531317
Lead Sponsor Institut Guttmann
Collaborators: Castellers de la Vila de Gràcia
Conditions Neuropathic Pain, Spinal Cord Injuries, Central Neuropathic Pain
Enrollment 58 participants
Start Date 2023-10-05
Primary Completion 2025-11-07 (estimated)
Study Completion 2025-11-07 (estimated)
Updated on ClinicalTrials.gov 2024-07-31